Commit Graph

8 Commits (ba7a5ac9d7bbc1ad531916c8a0002d1791aa1335)

Author SHA1 Message Date
vowelparrot 4ffc58e07b
Add similarity_search_with_normalized_similarities (#2916)
Add a method that exposes a similarity search with corresponding
normalized similarity scores. Implement only for FAISS now.

### Motivation:

Some memory definitions combine `relevance` with other scores, like
recency , importance, etc.

While many (but not all) of the `VectorStore`'s expose a
`similarity_search_with_score` method, they don't all interpret the
units of that score (depends on the distance metric and whether or not
the the embeddings are normalized).

This PR proposes a `similarity_search_with_normalized_similarities`
method that lets consumers of the vector store not have to worry about
the metric and embedding scale.

*Most providers default to euclidean distance, with Pinecone being one
exception (defaults to cosine _similarity_).*

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Andrew White c5015d77e2
Allow k to be higher than doc size in max_marginal_relevance_search (#1187)
Fixes issue #1186. For some reason, #1117 didn't seem to fix it.
2 years ago
seanaedmiston f0a258555b
Support similarity search by vector (in FAISS) (#961)
Alternate implementation to PR #960 Again - only FAISS is implemented.
If accepted can add this to other vectorstores or leave as
NotImplemented? Suggestions welcome...
2 years ago
Harrison Chase 1e56879d38
Harrison/save faiss (#916)
Co-authored-by: Shrey Joshi <shreyjoshi2004@gmail.com>
2 years ago
Harrison Chase 3f48eed5bd
Harrison/milvus (#856)
Signed-off-by: Filip Haltmayer <filip.haltmayer@zilliz.com>
Signed-off-by: Frank Liu <frank.liu@zilliz.com>
Co-authored-by: Filip Haltmayer <81822489+filip-halt@users.noreply.github.com>
Co-authored-by: Frank Liu <frank@frankzliu.com>
2 years ago
dham e04b063ff4
add faiss local saving/loading (#676)
- This uses the faiss built-in `write_index` and `load_index` to save
and load faiss indexes locally
- Also fixes #674
- The save/load functions also use the faiss library, so I refactored
the dependency into a function
2 years ago
Samantha Whitmore 315b0c09c6
wip: add method for both docstore and embeddings (#119)
this will break atm but wanted to get thoughts on implementation.

1. should add() be on docstore interface?
2. should InMemoryDocstore change to take a list of documents as init?
(makes this slightly easier to implement in FAISS -- if we think it is
less clean then could expose a method to get the number of documents
currently in the dict, and perform the logic of creating the necessary
dictionary in the FAISS.add_texts method.

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2 years ago
Harrison Chase c02eb199b6
add few shot example (#148) 2 years ago